Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...
Los Alamos researchers developed PAS, a real-time tool that helps detect false image claims in machine vision models.
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Robots are closing in on human-like judgments, addressing a key challenge in physical AI
KAIST researchers solved a key challenge in the commercialization of physical AI by developing a new technology that enables ...
The potential harm of bias in generative AI tools is largely due to widespread adoption by organizations and free or low-cost ...
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